Ebook: Sensor and Data Fusion: A Tool for Information Assessment and Decision Making, Second Edition
Author: Lawrence A. Klein
- Genre: Mathematics // Wavelets and signal processing
- Tags: Приборостроение, Обработка сигналов
- Series: SPIE Press Monograph PM222
- Year: 2012
- Publisher: SPIE Press
- Edition: 2nd
- Language: English
- pdf
The information in this edition has been substantially expanded and updated to incorporate recent approaches to sensor and data fusion, as well as application examples. A new chapter about data fusion issues associated with multiple-radar tracking systems has also been added.
Chapter 1. Introduction
Chapter 2. Multiple-Sensor System Applications, Benefits, and Design Considerations
Chapter 3. Sensor and Data Fusion Architectures and Algorithms
Chapter 4. Classical Inference
Chapter 5. Bayesian Inference
Chapter 6. Dempster-Shafer Evidential Theory
Chapter 7. Artificial Neural Networks
Chapter 8. Voting Logic Fusion
Chapter 9. Fuzzy Logic and Fuzzy Neural Networks
Chapter 10. Data Fusion Issues Associated With Multiple-Radar Tracking Systems
Chapter 11. Pasive Data Association Techniques for Unambiguous Location of Targets
Chapter 12. Retrospective Comments